Smoking prevalence and its impacts on lung cancer mortality in Sub-Saharan Africa : an epidemiological study
Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smok...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Winkler, Volker - 1978- [verfasserIn] Ott, Jördis J. [verfasserIn] Cowan, Melanie [verfasserIn] Becher, Heiko [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
5 September 2013 |
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| Schlagwörter: |
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| Anmerkung: |
Gesehen am 16.11.2021 |
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| Umfang: |
7 |
| Übergeordnetes Werk: |
Enthalten in: Preventive medicine - Amsterdam : Elsevier, 1972, 57(2013), 5, Seite 634-640 |
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| Übergeordnetes Werk: |
volume:57 ; year:2013 ; number:5 ; pages:634-640 ; extent:7 |
| Links: |
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| DOI / URN: |
10.1016/j.ypmed.2013.08.022 |
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| Katalog-ID: |
177754016X |
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| 245 | 1 | 0 | |a Smoking prevalence and its impacts on lung cancer mortality in Sub-Saharan Africa |b an epidemiological study |c Volker Winkler, Jördis J. Ott, Melanie Cowan, Heiko Becher |
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| 520 | |a Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smoking prevalence from WHO STEPS surveys to estimate lung cancer mortality for six Sub-Saharan African countries (Benin, Malawi, Mozambique, Niger, Sierra Leone, Swaziland). Results were compared to a reference database (GLOBOCAN). Using different smoking prevalence scenarios, future lung cancer deaths were estimated. - Results - The prevalence of current moderate smoking among males ranged from 8.7% to 34.6%. Prevalence was much lower among females. For all countries considered, our mortality estimates were higher than GLOBOCAN estimates that do not consider prevalence: Overall, we estimated 2405 lung cancer deaths for 2008 compared to 531 deaths estimated by GLOBOCAN. Up to 2030, lung cancer deaths are expected to increase in general and by over 100% in Benin and Niger. Even under the assumption of decrease in smoking prevalence, lung cancer mortality will rise. - Conclusion - On the bases of detailed smoking prevalence information, our findings implicate a higher lung cancer burden in low income countries. The epidemiologic transition in African low-income countries alludes to the need for targeted health prevention efforts. | ||
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10.1016/j.ypmed.2013.08.022 doi (DE-627)177754016X (DE-599)KXP177754016X (OCoLC)1341424082 DE-627 ger DE-627 rda eng Winkler, Volker 1978- verfasserin (DE-588)136380948 (DE-627)582066026 (DE-576)287770257 aut Smoking prevalence and its impacts on lung cancer mortality in Sub-Saharan Africa an epidemiological study Volker Winkler, Jördis J. Ott, Melanie Cowan, Heiko Becher 5 September 2013 7 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.11.2021 Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smoking prevalence from WHO STEPS surveys to estimate lung cancer mortality for six Sub-Saharan African countries (Benin, Malawi, Mozambique, Niger, Sierra Leone, Swaziland). Results were compared to a reference database (GLOBOCAN). Using different smoking prevalence scenarios, future lung cancer deaths were estimated. - Results - The prevalence of current moderate smoking among males ranged from 8.7% to 34.6%. Prevalence was much lower among females. For all countries considered, our mortality estimates were higher than GLOBOCAN estimates that do not consider prevalence: Overall, we estimated 2405 lung cancer deaths for 2008 compared to 531 deaths estimated by GLOBOCAN. Up to 2030, lung cancer deaths are expected to increase in general and by over 100% in Benin and Niger. Even under the assumption of decrease in smoking prevalence, lung cancer mortality will rise. - Conclusion - On the bases of detailed smoking prevalence information, our findings implicate a higher lung cancer burden in low income countries. The epidemiologic transition in African low-income countries alludes to the need for targeted health prevention efforts. Africa Epidemiologic model Lung cancer Mortality Smoking prevalence Ott, Jördis J. verfasserin aut Cowan, Melanie verfasserin aut Becher, Heiko verfasserin (DE-588)1027740677 (DE-627)729629260 (DE-576)375063439 aut Enthalten in Preventive medicine Amsterdam : Elsevier, 1972 57(2013), 5, Seite 634-640 Online-Ressource (DE-627)268126887 (DE-600)1471564-8 (DE-576)104194022 1096-0260 nnns volume:57 year:2013 number:5 pages:634-640 extent:7 https://doi.org/10.1016/j.ypmed.2013.08.022 Verlag Resolving-System lizenzpflichtig Volltext https://www.sciencedirect.com/science/article/pii/S0091743513003149 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 57 2013 5 634-640 7 2013 01 DE-16-250 4002498921 00 --%%-- --%%-- --%%-- --%%-- l01 16-11-21 2013 01 DE-16-250 00 s hd2013 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_7 2013 01 DE-16-250 04 p (DE-627)1484611942 Winkler, Volker 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1448136504 Becher, Heiko 2013 01 DE-16-250 05 k (DE-627)1416741526 Department für Infektiologie 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4 |
| spelling |
10.1016/j.ypmed.2013.08.022 doi (DE-627)177754016X (DE-599)KXP177754016X (OCoLC)1341424082 DE-627 ger DE-627 rda eng Winkler, Volker 1978- verfasserin (DE-588)136380948 (DE-627)582066026 (DE-576)287770257 aut Smoking prevalence and its impacts on lung cancer mortality in Sub-Saharan Africa an epidemiological study Volker Winkler, Jördis J. Ott, Melanie Cowan, Heiko Becher 5 September 2013 7 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.11.2021 Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smoking prevalence from WHO STEPS surveys to estimate lung cancer mortality for six Sub-Saharan African countries (Benin, Malawi, Mozambique, Niger, Sierra Leone, Swaziland). Results were compared to a reference database (GLOBOCAN). Using different smoking prevalence scenarios, future lung cancer deaths were estimated. - Results - The prevalence of current moderate smoking among males ranged from 8.7% to 34.6%. Prevalence was much lower among females. For all countries considered, our mortality estimates were higher than GLOBOCAN estimates that do not consider prevalence: Overall, we estimated 2405 lung cancer deaths for 2008 compared to 531 deaths estimated by GLOBOCAN. Up to 2030, lung cancer deaths are expected to increase in general and by over 100% in Benin and Niger. Even under the assumption of decrease in smoking prevalence, lung cancer mortality will rise. - Conclusion - On the bases of detailed smoking prevalence information, our findings implicate a higher lung cancer burden in low income countries. The epidemiologic transition in African low-income countries alludes to the need for targeted health prevention efforts. Africa Epidemiologic model Lung cancer Mortality Smoking prevalence Ott, Jördis J. verfasserin aut Cowan, Melanie verfasserin aut Becher, Heiko verfasserin (DE-588)1027740677 (DE-627)729629260 (DE-576)375063439 aut Enthalten in Preventive medicine Amsterdam : Elsevier, 1972 57(2013), 5, Seite 634-640 Online-Ressource (DE-627)268126887 (DE-600)1471564-8 (DE-576)104194022 1096-0260 nnns volume:57 year:2013 number:5 pages:634-640 extent:7 https://doi.org/10.1016/j.ypmed.2013.08.022 Verlag Resolving-System lizenzpflichtig Volltext https://www.sciencedirect.com/science/article/pii/S0091743513003149 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 57 2013 5 634-640 7 2013 01 DE-16-250 4002498921 00 --%%-- --%%-- --%%-- --%%-- l01 16-11-21 2013 01 DE-16-250 00 s hd2013 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_7 2013 01 DE-16-250 04 p (DE-627)1484611942 Winkler, Volker 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1448136504 Becher, Heiko 2013 01 DE-16-250 05 k (DE-627)1416741526 Department für Infektiologie 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4 |
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10.1016/j.ypmed.2013.08.022 doi (DE-627)177754016X (DE-599)KXP177754016X (OCoLC)1341424082 DE-627 ger DE-627 rda eng Winkler, Volker 1978- verfasserin (DE-588)136380948 (DE-627)582066026 (DE-576)287770257 aut Smoking prevalence and its impacts on lung cancer mortality in Sub-Saharan Africa an epidemiological study Volker Winkler, Jördis J. Ott, Melanie Cowan, Heiko Becher 5 September 2013 7 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.11.2021 Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smoking prevalence from WHO STEPS surveys to estimate lung cancer mortality for six Sub-Saharan African countries (Benin, Malawi, Mozambique, Niger, Sierra Leone, Swaziland). Results were compared to a reference database (GLOBOCAN). Using different smoking prevalence scenarios, future lung cancer deaths were estimated. - Results - The prevalence of current moderate smoking among males ranged from 8.7% to 34.6%. Prevalence was much lower among females. For all countries considered, our mortality estimates were higher than GLOBOCAN estimates that do not consider prevalence: Overall, we estimated 2405 lung cancer deaths for 2008 compared to 531 deaths estimated by GLOBOCAN. Up to 2030, lung cancer deaths are expected to increase in general and by over 100% in Benin and Niger. Even under the assumption of decrease in smoking prevalence, lung cancer mortality will rise. - Conclusion - On the bases of detailed smoking prevalence information, our findings implicate a higher lung cancer burden in low income countries. The epidemiologic transition in African low-income countries alludes to the need for targeted health prevention efforts. Africa Epidemiologic model Lung cancer Mortality Smoking prevalence Ott, Jördis J. verfasserin aut Cowan, Melanie verfasserin aut Becher, Heiko verfasserin (DE-588)1027740677 (DE-627)729629260 (DE-576)375063439 aut Enthalten in Preventive medicine Amsterdam : Elsevier, 1972 57(2013), 5, Seite 634-640 Online-Ressource (DE-627)268126887 (DE-600)1471564-8 (DE-576)104194022 1096-0260 nnns volume:57 year:2013 number:5 pages:634-640 extent:7 https://doi.org/10.1016/j.ypmed.2013.08.022 Verlag Resolving-System lizenzpflichtig Volltext https://www.sciencedirect.com/science/article/pii/S0091743513003149 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 57 2013 5 634-640 7 2013 01 DE-16-250 4002498921 00 --%%-- --%%-- --%%-- --%%-- l01 16-11-21 2013 01 DE-16-250 00 s hd2013 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_7 2013 01 DE-16-250 04 p (DE-627)1484611942 Winkler, Volker 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1448136504 Becher, Heiko 2013 01 DE-16-250 05 k (DE-627)1416741526 Department für Infektiologie 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4 |
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10.1016/j.ypmed.2013.08.022 doi (DE-627)177754016X (DE-599)KXP177754016X (OCoLC)1341424082 DE-627 ger DE-627 rda eng Winkler, Volker 1978- verfasserin (DE-588)136380948 (DE-627)582066026 (DE-576)287770257 aut Smoking prevalence and its impacts on lung cancer mortality in Sub-Saharan Africa an epidemiological study Volker Winkler, Jördis J. Ott, Melanie Cowan, Heiko Becher 5 September 2013 7 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.11.2021 Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smoking prevalence from WHO STEPS surveys to estimate lung cancer mortality for six Sub-Saharan African countries (Benin, Malawi, Mozambique, Niger, Sierra Leone, Swaziland). Results were compared to a reference database (GLOBOCAN). Using different smoking prevalence scenarios, future lung cancer deaths were estimated. - Results - The prevalence of current moderate smoking among males ranged from 8.7% to 34.6%. Prevalence was much lower among females. For all countries considered, our mortality estimates were higher than GLOBOCAN estimates that do not consider prevalence: Overall, we estimated 2405 lung cancer deaths for 2008 compared to 531 deaths estimated by GLOBOCAN. Up to 2030, lung cancer deaths are expected to increase in general and by over 100% in Benin and Niger. Even under the assumption of decrease in smoking prevalence, lung cancer mortality will rise. - Conclusion - On the bases of detailed smoking prevalence information, our findings implicate a higher lung cancer burden in low income countries. The epidemiologic transition in African low-income countries alludes to the need for targeted health prevention efforts. Africa Epidemiologic model Lung cancer Mortality Smoking prevalence Ott, Jördis J. verfasserin aut Cowan, Melanie verfasserin aut Becher, Heiko verfasserin (DE-588)1027740677 (DE-627)729629260 (DE-576)375063439 aut Enthalten in Preventive medicine Amsterdam : Elsevier, 1972 57(2013), 5, Seite 634-640 Online-Ressource (DE-627)268126887 (DE-600)1471564-8 (DE-576)104194022 1096-0260 nnns volume:57 year:2013 number:5 pages:634-640 extent:7 https://doi.org/10.1016/j.ypmed.2013.08.022 Verlag Resolving-System lizenzpflichtig Volltext https://www.sciencedirect.com/science/article/pii/S0091743513003149 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 57 2013 5 634-640 7 2013 01 DE-16-250 4002498921 00 --%%-- --%%-- --%%-- --%%-- l01 16-11-21 2013 01 DE-16-250 00 s hd2013 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_7 2013 01 DE-16-250 04 p (DE-627)1484611942 Winkler, Volker 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1448136504 Becher, Heiko 2013 01 DE-16-250 05 k (DE-627)1416741526 Department für Infektiologie 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4 |
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10.1016/j.ypmed.2013.08.022 doi (DE-627)177754016X (DE-599)KXP177754016X (OCoLC)1341424082 DE-627 ger DE-627 rda eng Winkler, Volker 1978- verfasserin (DE-588)136380948 (DE-627)582066026 (DE-576)287770257 aut Smoking prevalence and its impacts on lung cancer mortality in Sub-Saharan Africa an epidemiological study Volker Winkler, Jördis J. Ott, Melanie Cowan, Heiko Becher 5 September 2013 7 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.11.2021 Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smoking prevalence from WHO STEPS surveys to estimate lung cancer mortality for six Sub-Saharan African countries (Benin, Malawi, Mozambique, Niger, Sierra Leone, Swaziland). Results were compared to a reference database (GLOBOCAN). Using different smoking prevalence scenarios, future lung cancer deaths were estimated. - Results - The prevalence of current moderate smoking among males ranged from 8.7% to 34.6%. Prevalence was much lower among females. For all countries considered, our mortality estimates were higher than GLOBOCAN estimates that do not consider prevalence: Overall, we estimated 2405 lung cancer deaths for 2008 compared to 531 deaths estimated by GLOBOCAN. Up to 2030, lung cancer deaths are expected to increase in general and by over 100% in Benin and Niger. Even under the assumption of decrease in smoking prevalence, lung cancer mortality will rise. - Conclusion - On the bases of detailed smoking prevalence information, our findings implicate a higher lung cancer burden in low income countries. The epidemiologic transition in African low-income countries alludes to the need for targeted health prevention efforts. Africa Epidemiologic model Lung cancer Mortality Smoking prevalence Ott, Jördis J. verfasserin aut Cowan, Melanie verfasserin aut Becher, Heiko verfasserin (DE-588)1027740677 (DE-627)729629260 (DE-576)375063439 aut Enthalten in Preventive medicine Amsterdam : Elsevier, 1972 57(2013), 5, Seite 634-640 Online-Ressource (DE-627)268126887 (DE-600)1471564-8 (DE-576)104194022 1096-0260 nnns volume:57 year:2013 number:5 pages:634-640 extent:7 https://doi.org/10.1016/j.ypmed.2013.08.022 Verlag Resolving-System lizenzpflichtig Volltext https://www.sciencedirect.com/science/article/pii/S0091743513003149 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 57 2013 5 634-640 7 2013 01 DE-16-250 4002498921 00 --%%-- --%%-- --%%-- --%%-- l01 16-11-21 2013 01 DE-16-250 00 s hd2013 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_7 2013 01 DE-16-250 04 p (DE-627)1484611942 Winkler, Volker 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1448136504 Becher, Heiko 2013 01 DE-16-250 05 k (DE-627)1416741526 Department für Infektiologie 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4 |
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Ott, Melanie Cowan, Heiko Becher</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">5 September 2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">7</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Gesehen am 16.11.2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background - Reliable mortality data are sparse for developing countries. 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Smoking prevalence and its impacts on lung cancer mortality in Sub-Saharan Africa an epidemiological study |
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Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smoking prevalence from WHO STEPS surveys to estimate lung cancer mortality for six Sub-Saharan African countries (Benin, Malawi, Mozambique, Niger, Sierra Leone, Swaziland). Results were compared to a reference database (GLOBOCAN). Using different smoking prevalence scenarios, future lung cancer deaths were estimated. - Results - The prevalence of current moderate smoking among males ranged from 8.7% to 34.6%. Prevalence was much lower among females. For all countries considered, our mortality estimates were higher than GLOBOCAN estimates that do not consider prevalence: Overall, we estimated 2405 lung cancer deaths for 2008 compared to 531 deaths estimated by GLOBOCAN. Up to 2030, lung cancer deaths are expected to increase in general and by over 100% in Benin and Niger. Even under the assumption of decrease in smoking prevalence, lung cancer mortality will rise. - Conclusion - On the bases of detailed smoking prevalence information, our findings implicate a higher lung cancer burden in low income countries. The epidemiologic transition in African low-income countries alludes to the need for targeted health prevention efforts. Gesehen am 16.11.2021 |
| abstractGer |
Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smoking prevalence from WHO STEPS surveys to estimate lung cancer mortality for six Sub-Saharan African countries (Benin, Malawi, Mozambique, Niger, Sierra Leone, Swaziland). Results were compared to a reference database (GLOBOCAN). Using different smoking prevalence scenarios, future lung cancer deaths were estimated. - Results - The prevalence of current moderate smoking among males ranged from 8.7% to 34.6%. Prevalence was much lower among females. For all countries considered, our mortality estimates were higher than GLOBOCAN estimates that do not consider prevalence: Overall, we estimated 2405 lung cancer deaths for 2008 compared to 531 deaths estimated by GLOBOCAN. Up to 2030, lung cancer deaths are expected to increase in general and by over 100% in Benin and Niger. Even under the assumption of decrease in smoking prevalence, lung cancer mortality will rise. - Conclusion - On the bases of detailed smoking prevalence information, our findings implicate a higher lung cancer burden in low income countries. The epidemiologic transition in African low-income countries alludes to the need for targeted health prevention efforts. Gesehen am 16.11.2021 |
| abstract_unstemmed |
Background - Reliable mortality data are sparse for developing countries. Furthermore, risk factor prevalence information is hardly available and thus not taken into consideration when estimating mortality. - Methods - The authors used a validated, statistical model combined with representative smoking prevalence from WHO STEPS surveys to estimate lung cancer mortality for six Sub-Saharan African countries (Benin, Malawi, Mozambique, Niger, Sierra Leone, Swaziland). Results were compared to a reference database (GLOBOCAN). Using different smoking prevalence scenarios, future lung cancer deaths were estimated. - Results - The prevalence of current moderate smoking among males ranged from 8.7% to 34.6%. Prevalence was much lower among females. For all countries considered, our mortality estimates were higher than GLOBOCAN estimates that do not consider prevalence: Overall, we estimated 2405 lung cancer deaths for 2008 compared to 531 deaths estimated by GLOBOCAN. Up to 2030, lung cancer deaths are expected to increase in general and by over 100% in Benin and Niger. Even under the assumption of decrease in smoking prevalence, lung cancer mortality will rise. - Conclusion - On the bases of detailed smoking prevalence information, our findings implicate a higher lung cancer burden in low income countries. The epidemiologic transition in African low-income countries alludes to the need for targeted health prevention efforts. Gesehen am 16.11.2021 |
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Smoking prevalence and its impacts on lung cancer mortality in Sub-Saharan Africa |
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https://doi.org/10.1016/j.ypmed.2013.08.022 https://www.sciencedirect.com/science/article/pii/S0091743513003149 |
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